ISBN-10:
033526154X
ISBN-13:
9780335261543
Pub. Date:
07/28/2016
Publisher:
McGraw-Hill Companies, The
SPSS Survival Manual

SPSS Survival Manual

by Julie Pallant
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Overview

A lifeline to students andresearchers grappling withSPSS data analysis software

This fully revised and updated edition of theSPSS Survival Manual guides readersthrough the entire research process, helpingthem choose the right data analysis techniquefor any project. From the formulationof research questions, to the design of thestudy and analysis of data, to reporting theresults, the author discusses basic andadvanced statistical techniques. Each techniqueis clearly outlined, with step-by-stepprocedures for performing the analysis, adetailed guide to interpreting SPSS output,and an example of how to present theresults in a report. Statistical techniquescovered include:

  • Descriptive statistics
  • Correlation
  • Multiple regression
  • Logistic regression
  • Factor analysis
  • T-tests
  • Analysis of variance
  • Multivariate analysis of variance
  • Analysis of covariance
  • Non-parametric tests

Illustrated with screen grabs, examples ofoutput, and tips, the SPSS Survival Manualcan be used by researchers at any levelacross all disciplines. It is supported by awebsite with sample data and guidelines onreport writing and is fully updated for SPSSVersion 12.

Julie Pallant (Australia) lectures in statistics inthe School of Mathematical Sciences at SwinburneUniversity.

Product Details

ISBN-13: 9780335261543
Publisher: McGraw-Hill Companies, The
Publication date: 07/28/2016
Edition description: New Edition
Sales rank: 106,780
Product dimensions: 6.00(w) x 1.25(h) x 9.00(d)

About the Author

Julie Pallant (Australia) lectures in statistics inthe School of Mathematical Sciences at SwinburneUniversity.

Table of Contents

Data files and website
Introduction & overview

PART ONE: GETTING STARTED
Chapter 1: Designing a study
Chapter 2: Preparing a codebook
Chapter 3: Getting to know SPSS

PART TWO: PREPARING THE DATA FILE
Chapter 4: Creating a data file and entering data
Chapter 5: Screening and cleaning the data

PART THREE: PRELIMINARY ANALYSES
Chapter 6: Descriptive statistics
Chapter 7: Using graphs to describe and explore data
Chapter 8: Manipulating the data
Chapter 9: Checking the reliability of a scale
Chapter 10: Choosing the right statistic

PART FOUR: STATISTICAL TECHNIQUES TO EXPLORE RELATIONSHIPS
Techniques covered in Part Four
Revision of the basics
References
Chapter 11: Correlation
Chapter 12: Partial correlation
Chapter 13: Multiple regression
Chapter 14: Logistic regression
Chapter 15: Factor analysis

PART FIVE: STATISTICAL TECHNIQUES TO COMPARE GROUPS
Techniques covered in Part Five
Assumptions
Type 1 error, Type 2 error and power
Planned comparisons/Post-hoc analyses
Effect size
References
Chapter 16: T-tests
Chapter 17: One-way analysis of variance
Chapter 18: Two-way between-groups ANOVA
Chapter 19: Mixed between-within subjects analysis of variance
Chapter 20: Multivariate analysis of variance
Chapter 21: Analysis of covariance
Chapter 22: Non-parametric statistics

Appendices
Recommended references
Index

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